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Article: Accurate Decoding of Imagined and Heard Melodies.

Di Liberto, Giovanni M / Marion, Guilhem / Shamma, Shihab A

2021 Volume 15, Page(s) 673401

Abstract: Music perception requires the human brain to process a variety of acoustic and music-related properties. Recent research used encoding models to tease apart and study the various cortical contributors to music perception. To do so, such approaches study ... ...

Abstract	Music perception requires the human brain to process a variety of acoustic and music-related properties. Recent research used encoding models to tease apart and study the various cortical contributors to music perception. To do so, such approaches study temporal response functions that summarise the neural activity over several minutes of data. Here we tested the possibility of assessing the neural processing of individual musical units (bars) with electroencephalography (EEG). We devised a decoding methodology based on a maximum correlation metric across EEG segments (
Language	English
Publishing date	2021-08-05
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2411902-7
ISSN	1662-453X ; 1662-4548
ISSN (online)	1662-453X
ISSN	1662-4548
DOI	10.3389/fnins.2021.673401
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: A convergent tale of two species.

Shamma, Shihab A

Nature neuroscience

2015 Volume 18, Issue 2, Page(s) 168–169

MeSH term(s)	Adaptation, Physiological/physiology ; Animals ; Auditory Cortex/physiology ; Female ; Ferrets/physiology ; Male ; Neuronal Plasticity/physiology ; Neurons/physiology ; Sound Localization/physiology
Language	English
Publishing date	2015-01-13
Publishing country	United States
Document type	Journal Article ; Comment
ZDB-ID	1420596-8
ISSN	1546-1726 ; 1097-6256
ISSN (online)	1546-1726
ISSN	1097-6256
DOI	10.1038/nn.3928
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Zs.A 4891: Show issues			Location: Je nach Verfügbarkeit (siehe Angabe bei Bestand) bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular Jg. 1995 - 2021: Lesesall (2.OG) ab Jg. 2022: Lesesaal (EG)
Zs.MG 67: Show issues

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Article ; Online: The Music of Silence: Part II: Music Listening Induces Imagery Responses.

Di Liberto, Giovanni M / Marion, Guilhem / Shamma, Shihab A

The Journal of neuroscience : the official journal of the Society for Neuroscience

2021 Volume 41, Issue 35, Page(s) 7449–7460

Abstract: During music listening, humans routinely acquire the regularities of the acoustic sequences and use them to anticipate and interpret the ongoing melody. Specifically, in line with this predictive framework, it is thought that brain responses during such ... ...

Abstract	During music listening, humans routinely acquire the regularities of the acoustic sequences and use them to anticipate and interpret the ongoing melody. Specifically, in line with this predictive framework, it is thought that brain responses during such listening reflect a comparison between the bottom-up sensory responses and top-down prediction signals generated by an internal model that embodies the music exposure and expectations of the listener. To attain a clear view of these predictive responses, previous work has eliminated the sensory inputs by inserting artificial silences (or sound omissions) that leave behind only the corresponding predictions of the thwarted expectations. Here, we demonstrate a new alternate approach in which we decode the predictive electroencephalography (EEG) responses to the silent intervals that are naturally interspersed within the music. We did this as participants (experiment 1, 20 participants, 10 female; experiment 2, 21 participants, 6 female) listened or imagined Bach piano melodies. Prediction signals were quantified and assessed via a computational model of the melodic structure of the music and were shown to exhibit the same response characteristics when measured during listening or imagining. These include an inverted polarity for both silence and imagined responses relative to listening, as well as response magnitude modulations that precisely reflect the expectations of notes and silences in both listening and imagery conditions. These findings therefore provide a unifying view that links results from many previous paradigms, including omission reactions and the expectation modulation of sensory responses, all in the context of naturalistic music listening.
MeSH term(s)	Acoustic Stimulation ; Adult ; Auditory Perception/physiology ; Brain Mapping ; Cerebral Cortex/physiology ; Electroencephalography ; Evoked Potentials/physiology ; Evoked Potentials, Auditory/physiology ; Female ; Humans ; Imagination/physiology ; Learning/physiology ; Male ; Markov Chains ; Motivation/physiology ; Music/psychology ; Occupations ; Young Adult
Language	English
Publishing date	2021-08-02
Publishing country	United States
Document type	Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
ZDB-ID	604637-x
ISSN	1529-2401 ; 0270-6474
ISSN (online)	1529-2401
ISSN	0270-6474
DOI	10.1523/JNEUROSCI.0184-21.2021
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Article ; Online: The Music of Silence: Part I: Responses to Musical Imagery Encode Melodic Expectations and Acoustics.

Marion, Guilhem / Di Liberto, Giovanni M / Shamma, Shihab A

The Journal of neuroscience : the official journal of the Society for Neuroscience

2021 Volume 41, Issue 35, Page(s) 7435–7448

Abstract: Musical imagery is the voluntary internal hearing of music in the mind without the need for physical action or external stimulation. Numerous studies have already revealed brain areas activated during imagery. However, it remains unclear to what extent ... ...

Abstract	Musical imagery is the voluntary internal hearing of music in the mind without the need for physical action or external stimulation. Numerous studies have already revealed brain areas activated during imagery. However, it remains unclear to what extent imagined music responses preserve the detailed temporal dynamics of the acoustic stimulus envelope and, crucially, whether melodic expectations play any role in modulating responses to imagined music, as they prominently do during listening. These modulations are important as they reflect aspects of the human musical experience, such as its acquisition, engagement, and enjoyment. This study explored the nature of these modulations in imagined music based on EEG recordings from 21 professional musicians (6 females and 15 males). Regression analyses were conducted to demonstrate that imagined neural signals can be predicted accurately, similarly to the listening task, and were sufficiently robust to allow for accurate identification of the imagined musical piece from the EEG. In doing so, our results indicate that imagery and listening tasks elicited an overlapping but distinctive topography of neural responses to sound acoustics, which is in line with previous fMRI literature. Melodic expectation, however, evoked very similar frontal spatial activation in both conditions, suggesting that they are supported by the same underlying mechanisms. Finally, neural responses induced by imagery exhibited a specific transformation from the listening condition, which primarily included a relative delay and a polarity inversion of the response. This transformation demonstrates the top-down predictive nature of the expectation mechanisms arising during both listening and imagery.
MeSH term(s)	Acoustic Stimulation ; Adult ; Auditory Cortex/physiology ; Brain Mapping ; Electroencephalography ; Electromyography ; Evoked Potentials/physiology ; Evoked Potentials, Auditory/physiology ; Female ; Frontal Lobe/physiology ; Humans ; Imagination/physiology ; Male ; Markov Chains ; Motivation/physiology ; Music/psychology ; Occupations ; Symbolism ; Young Adult
Language	English
Publishing date	2021-08-02
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	604637-x
ISSN	1529-2401 ; 0270-6474
ISSN (online)	1529-2401
ISSN	0270-6474
DOI	10.1523/JNEUROSCI.0183-21.2021
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Article ; Online: Inhibition mediates top-down control of sensory processing.

Shamma, Shihab A

Neuron

2013 Volume 80, Issue 4, Page(s) 838–840

Abstract: In this issue of Neuron, Hamilton et al. (2013) stimulate identified inhibitory interneurons with optogenetics, revealing powerful control of the flow of sensory responses across cortical layers. During natural behavior, these influences may mediate the ... ...

Abstract	In this issue of Neuron, Hamilton et al. (2013) stimulate identified inhibitory interneurons with optogenetics, revealing powerful control of the flow of sensory responses across cortical layers. During natural behavior, these influences may mediate the rapid adaptive abilities necessary for detection and perception of sensory signals in noisy environments.
MeSH term(s)	Animals ; Auditory Cortex/physiology ; Feedback, Physiological/physiology ; Nerve Net/physiology ; Neural Pathways/physiology ; Optogenetics
Language	English
Publishing date	2013-11-04
Publishing country	United States
Document type	Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't ; Comment
ZDB-ID	808167-0
ISSN	1097-4199 ; 0896-6273
ISSN (online)	1097-4199
ISSN	0896-6273
DOI	10.1016/j.neuron.2013.11.007
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Zs.A 2496: Show issues			Location: Je nach Verfügbarkeit (siehe Angabe bei Bestand) bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular Jg. 1995 - 2021: Lesesall (2.OG) ab Jg. 2022: Lesesaal (EG)
Zs.MG 92: Show issues

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Article ; Online: Hearing impairments hidden in normal listeners.

Shamma, Shihab A

Proceedings of the National Academy of Sciences of the United States of America

2011 Volume 108, Issue 39, Page(s) 16139–16140

MeSH term(s)	Auditory Threshold/physiology ; Communication ; Hearing/physiology ; Humans
Language	English
Publishing date	2011-09-16
Publishing country	United States
Document type	Journal Article ; Comment
ZDB-ID	209104-5
ISSN	1091-6490 ; 0027-8424
ISSN (online)	1091-6490
ISSN	0027-8424
DOI	10.1073/pnas.1112841108
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Zs.A 1148: Show issues

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Article ; Online: Distinct higher-order representations of natural sounds in human and ferret auditory cortex.

Landemard, Agnès / Bimbard, Célian / Demené, Charlie / Shamma, Shihab / Norman-Haignere, Sam / Boubenec, Yves

eLife

2021 Volume 10

Abstract: Little is known about how neural representations of natural sounds differ across species. For example, speech and music play a unique role in human hearing, yet it is unclear how auditory representations of speech and music differ between humans and ... ...

Abstract	Little is known about how neural representations of natural sounds differ across species. For example, speech and music play a unique role in human hearing, yet it is unclear how auditory representations of speech and music differ between humans and other animals. Using functional ultrasound imaging, we measured responses in ferrets to a set of natural and spectrotemporally matched synthetic sounds previously tested in humans. Ferrets showed similar lower-level frequency and modulation tuning to that observed in humans. But while humans showed substantially larger responses to natural vs. synthetic speech and music in non-primary regions, ferret responses to natural and synthetic sounds were closely matched throughout primary and non-primary auditory cortex, even when tested with ferret vocalizations. This finding reveals that auditory representations in humans and ferrets diverge sharply at late stages of cortical processing, potentially driven by higher-order processing demands in speech and music.
MeSH term(s)	Acoustic Stimulation ; Animals ; Auditory Cortex/physiology ; Auditory Perception/physiology ; Ferrets/physiology ; Humans ; Sound
Language	English
Publishing date	2021-11-18
Publishing country	England
Document type	Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
ZDB-ID	2687154-3
ISSN	2050-084X ; 2050-084X
ISSN (online)	2050-084X
ISSN	2050-084X
DOI	10.7554/eLife.65566
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Article ; Online: Dynamics and Hierarchical Encoding of Non-compact Acoustic Categories in Auditory and Frontal Cortex.

Yin, Pingbo / Strait, Dana L / Radtke-Schuller, Susanne / Fritz, Jonathan B / Shamma, Shihab A

Current biology : CB

2020 Volume 30, Issue 9, Page(s) 1649–1663.e5

Abstract: Categorical perception is a fundamental cognitive function enabling animals to flexibly assign sounds into behaviorally relevant categories. This study investigates the nature of acoustic category representations, their emergence in an ascending series ... ...

Abstract	Categorical perception is a fundamental cognitive function enabling animals to flexibly assign sounds into behaviorally relevant categories. This study investigates the nature of acoustic category representations, their emergence in an ascending series of ferret auditory and frontal cortical fields, and the dynamics of this representation during passive listening to task-relevant stimuli and during active retrieval from memory while engaging in learned categorization tasks. Ferrets were trained on two auditory Go-NoGo categorization tasks to discriminate two non-compact sound categories (composed of tones or amplitude-modulated noise). Neuronal responses became progressively more categorical in higher cortical fields, especially during task performance. The dynamics of the categorical responses exhibited a cascading top-down modulation pattern that began earliest in the frontal cortex and subsequently flowed downstream to the secondary auditory cortex, followed by the primary auditory cortex. In a subpopulation of neurons, categorical responses persisted even during the passive listening condition, demonstrating memory for task categories and their enhanced categorical boundaries.
MeSH term(s)	Acoustic Stimulation ; Animals ; Auditory Cortex/physiology ; Auditory Perception/physiology ; Behavior, Animal ; Female ; Ferrets ; Frontal Lobe/physiology ; Learning ; Monitoring, Physiologic ; Sound
Language	English
Publishing date	2020-03-26
Publishing country	England
Document type	Journal Article ; Research Support, N.I.H., Extramural
ZDB-ID	1071731-6
ISSN	1879-0445 ; 0960-9822
ISSN (online)	1879-0445
ISSN	0960-9822
DOI	10.1016/j.cub.2020.02.047
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Article ; Online: Neural representation of linguistic feature hierarchy reflects second-language proficiency.

Liberto, Giovanni M Di / Nie, Jingping / Yeaton, Jeremy / Khalighinejad, Bahar / Shamma, Shihab A / Mesgarani, Nima

NeuroImage

2020 Volume 227, Page(s) 117586

Abstract: Acquiring a new language requires individuals to simultaneously and gradually learn linguistic attributes on multiple levels. Here, we investigated how this learning process changes the neural encoding of natural speech by assessing the encoding of the ... ...

Abstract	Acquiring a new language requires individuals to simultaneously and gradually learn linguistic attributes on multiple levels. Here, we investigated how this learning process changes the neural encoding of natural speech by assessing the encoding of the linguistic feature hierarchy in second-language listeners. Electroencephalography (EEG) signals were recorded from native Mandarin speakers with varied English proficiency and from native English speakers while they listened to audio-stories in English. We measured the temporal response functions (TRFs) for acoustic, phonemic, phonotactic, and semantic features in individual participants and found a main effect of proficiency on linguistic encoding. This effect of second-language proficiency was particularly prominent on the neural encoding of phonemes, showing stronger encoding of "new" phonemic contrasts (i.e., English contrasts that do not exist in Mandarin) with increasing proficiency. Overall, we found that the nonnative listeners with higher proficiency levels had a linguistic feature representation more similar to that of native listeners, which enabled the accurate decoding of language proficiency. This result advances our understanding of the cortical processing of linguistic information in second-language learners and provides an objective measure of language proficiency.
MeSH term(s)	Adolescent ; Adult ; Brain/physiology ; Comprehension/physiology ; Electroencephalography ; Female ; Humans ; Language ; Male ; Middle Aged ; Multilingualism ; Phonetics ; Speech Perception/physiology ; Young Adult
Language	English
Publishing date	2020-12-24
Publishing country	United States
Document type	Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
ZDB-ID	1147767-2
ISSN	1095-9572 ; 1053-8119
ISSN (online)	1095-9572
ISSN	1053-8119
DOI	10.1016/j.neuroimage.2020.117586
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Zs.MO 7: Show issues

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Article ; Online: Relative salience of spectral and temporal features in auditory long-term memory.

Yin, Pingbo / Shamma, Shihab A / Fritz, Jonathan B

The Journal of the Acoustical Society of America

2017 Volume 140, Issue 6, Page(s) 4046

Abstract: In order to explore the representation of sound features in auditory long-term memory, two groups of ferrets were trained on Go vs Nogo, 3-zone classification tasks. The sound stimuli differed primarily along the spectral and temporal dimensions. In ... ...

Abstract	In order to explore the representation of sound features in auditory long-term memory, two groups of ferrets were trained on Go vs Nogo, 3-zone classification tasks. The sound stimuli differed primarily along the spectral and temporal dimensions. In Group 1, two ferrets were trained to (i) classify tones based on their frequency (Tone-task), and subsequently learned to (ii) classify white noise based on its amplitude modulation rate (AM-task). In Group 2, two ferrets were trained to classify tones based on correlated combinations of their frequency and AM rate (AM-Tone task). Both groups of ferrets learned their tasks and were able to generalize performance along the trained spectral (tone frequency) or temporal (AM rate) dimensions. Insights into stimulus representations in memory were gained when the animals were tested with a diverse set of untrained probes that mixed features from the two dimensions. Animals exhibited a complex pattern of responses to the probes reflecting primarily the probes' spectral similarity with the training stimuli, and secondarily the temporal features of the stimuli. These diverse behavioral decisions could be well accounted for by a nearest-neighbor classifier model that relied on a multiscale spectrotemporal cortical representation of the training and probe sounds.
MeSH term(s)	Acoustic Stimulation ; Animals ; Auditory Cortex ; Auditory Perception ; Learning ; Memory, Long-Term
Language	English
Publishing date	2017-01-05
Publishing country	United States
Document type	Journal Article ; Research Support, N.I.H., Extramural
ZDB-ID	219231-7
ISSN	1520-8524 ; 0001-4966
ISSN (online)	1520-8524
ISSN	0001-4966
DOI	10.1121/1.4968395
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